This book presents a synthesized design principle versus the existing separation principle of modern control theory of over six decades since the start. Guided by this new principle, a generalized state feedback control can be designed based on the parameters of observer and for a great majority of plant systems.
This book presents a synthesized design principle versus the existing separation principle of modern control theory of over six decades since the start. Guided by this new principle, a generalized state feedback control can be designed based on the parameters of observer and for a great majority of plant systems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Chia-Chi Tsui was born in 1953, Shanghai, China. He worked at a state farm in northeast China between 1969 and 1975. He received Bachelor of Computer Science degree from Concordia University, Montreal, Canada in 1979. He received his Masters and Ph. D. degrees from Electrical Engineering Department, State University of New York at Stony Brook in 1980 and 1983, respectively. He has held teaching positions at Northeastern University, City University of New York Staten Island College, and DeVry University New York. His research interest is linear feedback control system design, including robust control design.
Inhaltsangabe
1. System Mathematical Models and Basic Properties. 2. Single-System Performance and Sensitivity. 3. Feedback System Sensitivity. 4. A New Feedback Control Design Principle and Approach. 5. Computation of the Solution of Matrix Equation TA - FT = LC. 6. Observer Design 1: For Robustness Realization. 7. Observer Design 2: For Other Special Purposes. 8. Feedback Control Design for Eigenvalue (Pole) Assignment. 9. Feedback Control Design for Eigenvector Assignment. 10. Feedback Control Design for Quadratic Optimal Control. Appendix A: Relevant Linear Algebra and Numerical Linear Algebra. Appendix B: Real Design Projects and Problems. References. Index.
1. System Mathematical Models and Basic Properties. 2. Single-System Performance and Sensitivity. 3. Feedback System Sensitivity. 4. A New Feedback Control Design Principle and Approach. 5. Computation of the Solution of Matrix Equation TA - FT = LC. 6. Observer Design 1: For Robustness Realization. 7. Observer Design 2: For Other Special Purposes. 8. Feedback Control Design for Eigenvalue (Pole) Assignment. 9. Feedback Control Design for Eigenvector Assignment. 10. Feedback Control Design for Quadratic Optimal Control. Appendix A: Relevant Linear Algebra and Numerical Linear Algebra. Appendix B: Real Design Projects and Problems. References. Index.
1. System Mathematical Models and Basic Properties. 2. Single-System Performance and Sensitivity. 3. Feedback System Sensitivity. 4. A New Feedback Control Design Principle and Approach. 5. Computation of the Solution of Matrix Equation TA - FT = LC. 6. Observer Design 1: For Robustness Realization. 7. Observer Design 2: For Other Special Purposes. 8. Feedback Control Design for Eigenvalue (Pole) Assignment. 9. Feedback Control Design for Eigenvector Assignment. 10. Feedback Control Design for Quadratic Optimal Control. Appendix A: Relevant Linear Algebra and Numerical Linear Algebra. Appendix B: Real Design Projects and Problems. References. Index.
1. System Mathematical Models and Basic Properties. 2. Single-System Performance and Sensitivity. 3. Feedback System Sensitivity. 4. A New Feedback Control Design Principle and Approach. 5. Computation of the Solution of Matrix Equation TA - FT = LC. 6. Observer Design 1: For Robustness Realization. 7. Observer Design 2: For Other Special Purposes. 8. Feedback Control Design for Eigenvalue (Pole) Assignment. 9. Feedback Control Design for Eigenvector Assignment. 10. Feedback Control Design for Quadratic Optimal Control. Appendix A: Relevant Linear Algebra and Numerical Linear Algebra. Appendix B: Real Design Projects and Problems. References. Index.
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